A hybrid wavelet and temporal fusion algorithm for film and video denoising
Hannes Fassold, Peter Schallauer · 2015
Noise is an impairment which often occurs in both film and digital video and severely degrades the viewing experience of the content. In this work, we propose a two-phase algorithm for film an video denoising. In the first phase, the concept of semi-local shrinkage functions is used to effectively separate noise from image structure. In the second phase, we show how to fuse the result images of the first phase in a way which is robust to motion-compensation errors. A quantitative evaluation of the proposed algorithm on a realistic test dataset with noise of different coarseness and magnitude shows that the proposed method delivers better results than the video denoising method CVBM3D.